2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CG2022★ 2 cited
FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing
Loann Giovannangeli, Frederic Lalanne, Romain Giot +1
While many graph drawing algorithms consider nodes as points, graph visualization tools often represent them as shapes. These shapes support the display of information such as labe…
cs.LG2021★ 1 cited
Deep Neural Network for DrawiNg Networks, (DNN)^2
Loann Giovannangeli, Frederic Lalanne, David Auber +2
By leveraging recent progress of stochastic gradient descent methods, several works have shown that graphs could be efficiently laid out through the optimization of a tailored obje…